Limitations of the MK Method: Autocorrelation and Time Series Dependence

The MK method is predicated on the presupposition that time series are independent and stochastic in nature. Nevertheless, time series frequently exhibit autocorrelation, which can have an impact on the statistical significance of the test outcomes. This dependence between data points can lead to inflated or deflated significance values, potentially resulting in erroneous conclusions about trends in the data.